%0 Journal Article
%A Kegler, Philip
%A Klinkenberg, Martina
%A Bukaemskiy, Andrey
%A Murphy, Gabriel L.
%A Deissmann, Guido
%A Brandt, Felix
%A Bosbach, Dirk
%T Chromium Doped UO2-Based Ceramics: Synthesis and Characterization of Model Materials for Modern Nuclear Fuels
%J Materials
%V 14
%N 20
%@ 1996-1944
%C Basel
%I MDPI
%M FZJ-2021-03942
%P 6160 -
%D 2021
%X We here unify the field-theoretical approach to neuronal networks with large deviations theory. For a prototypical random recurrent network model with continuous-valued units, we show that the effective action is identical to the rate function and derive the latter using field theory. This rate function takes the form of a Kullback-Leibler divergence which enables data-driven inference of model parameters and calculation of fluctuations beyond mean-field theory. Lastly, we expose a regime with fluctuation-induced transitions between mean-field solutions.
%F PUB:(DE-HGF)16
%9 Journal Article
%$ 34683751
%U <Go to ISI:>//WOS:000716269400001
%R 10.3390/ma14206160
%U https://juser.fz-juelich.de/record/901967